Data Science Specialist

Infotek Consulting Inc.; Toronto; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

A leading company in the consulting industry is seeking a Senior Data Scientist to join a collaborative Data and AI team. In this hybrid role, you will work on wealth management initiatives, utilizing your expertise in Python and SQL to develop predictive models and deliver actionable insights. Candidates should possess strong analytical skills and a bachelor's degree in a relevant field, with a preference for additional experience in data science and banking.

Qualifications

• 2+ years of professional experience in data science.
• Experience with Agile development and DevOps tools.
• Familiarity with deploying ML applications in cloud environments.

Responsibilities

• Collaborate with lead data scientists on model development.
• Clean and prepare large datasets for analysis.
• Create visualizations and reports to support data-driven decisions.

Skills

Python

SQL

Analytical Thinking

Agile Development

Education

Bachelor's degree in Computer Science

Master’s/PhD in related STEM field

Tools

Jenkins

GitHub Actions

AWS

Azure

Job description

Role Title: Senior Data Scientist

Location: Toronto (Hybrid – 3 days onsite/week)

Duration: 12 months

Start Date: ASAP

About the Role:

Join a collaborative Data and AI team supporting Wealth Management initiatives. As a Senior Data Scientist, you'll contribute to research-driven proof-of-concept projects by developing and deploying predictive models, conducting data analysis, and delivering actionable insights.

Key Responsibilities:

• Collaborate with lead data scientists on model development and deployment
• Clean, organize, and prepare large datasets for analysis
• Perform exploratory data analysis and communicate key findings
• Create visualizations and reports to support data-driven decisions

Required Skills & Experience:

• Bachelor's degree in Computer Science, Software Engineering, Statistics, or a related STEM field (Master’s/PhD an asset)
• 2+ years of professional experience in data science
• Solid and Strong proficiency in Python and SQL
• Ability to quickly understand new datasets and adapt to new tools
• Clear communicator with strong analytical thinking
• Experience with Agile development and DevOps tools (e.g., Jenkins, GitHub Actions)
• Banking experience

Nice-to-Have:

• Experience with Agile development and DevOps tools (e.g., Jenkins, GitHub Actions)
• Exposure to Generative AI, Large Language Models (LLMs), and agentic systems
• Familiarity with deploying ML applications in hybrid/on-prem and cloud environments (AWS, Azure)